Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

Many numerical methods have been developed and modified to solve nonlinear least squares (NLS) problems as unconstrained optimization problems. One of the challenges regarding the existing numerical methods in solving NLS problems is expensive computation of the Hessian matrix at every iteration. He...

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Bibliographic Details
Published in:Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022
Main Authors: Ling Eu C.N., Harno H.G., Lim K.H.
Format: Conference Paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab

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